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What is the name of the player that is pick #69? | SELECT player FROM table_name_51 WHERE pick__number = "69" |
What is the motive before 2007? | SELECT motive FROM table_name_25 WHERE year < 2007 |
What is the id of the organization with the maximum number of outcomes and how many outcomes are there? | SELECT T1.organisation_id , count(*) FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id GROUP BY T1.organisation_id ORDER BY count(*) DESC LIMIT 1 |
What is the sum Total (kg) associated with a Snatch less than 110, and a Clean & jerk larger than 120? | SELECT SUM(total__kg_) FROM table_name_26 WHERE snatch < 110 AND clean_ & _jerk > 120 |
What is the number of jews asarb where the metro area is philadelphia? | SELECT number_of_jews__asarb_ FROM table_1131183_2 WHERE metro_area = "Philadelphia" |
Which Rank has a Bronze larger than 1, and a Silver larger than 0, and a Nation of norway (host nation), and a Total larger than 16? | SELECT COUNT(rank) FROM table_name_6 WHERE bronze > 1 AND silver > 0 AND nation = "norway (host nation)" AND total > 16 |
What is the child sex ration for the population with 37.7% work participation? | SELECT MAX(sex_ratio__child_) FROM table_name_24 WHERE work_participation___percentage_ = "37.7%" |
Which Opponent had a Surface of hard, and a Partner of maria elena camerin? | SELECT opponent FROM table_name_26 WHERE surface = "hard" AND partner = "maria elena camerin" |
What was the home team score when Brisbane lions was the home team? | SELECT home_team AS score FROM table_16388398_1 WHERE home_team = "Brisbane Lions" |
Show the name of drivers in descending order of age. | SELECT name FROM driver ORDER BY age DESC |
What is the name of the instructor who advises the student with the greatest number of total credits? | SELECT T2.name FROM advisor AS T1 JOIN instructor AS T2 ON T1.i_id = T2.id JOIN student AS T3 ON T1.s_id = T3.id ORDER BY T3.tot_cred DESC LIMIT 1 |
What wiaa classifications does vancouver itech prepratory have? | SELECT wiaa_classification FROM table_22058547_1 WHERE high_school = "Vancouver iTech Prepratory" |
Show the investors shared by entrepreneurs that requested more than 140000 and entrepreneurs that requested less than 120000. | SELECT Investor FROM entrepreneur WHERE Money_Requested > 140000 INTERSECT SELECT Investor FROM entrepreneur WHERE Money_Requested < 120000 |
In the Year 1939, what was the Finish when Al was the League? | SELECT finish FROM table_name_88 WHERE league = "al" AND year = 1939 |
What is the family name of the employee who shipped the order 10521 to CACTU? | SELECT T1.LastName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderID = 10521 AND T2.CustomerID = 'CACTU' |
Which episode ids are rated 5 stars and have more than 100 votes? | SELECT episode_id FROM Vote WHERE stars = 5 AND votes > 100; |
What is the Serial number of the Locomotive that Entered Service in November 1984 and has an Owner of Chicago Freight Car Leasing Australia? | SELECT serial_no FROM table_name_90 WHERE entered_service = "november 1984" AND owner = "chicago freight car leasing australia" |
Whose permanent address is different from his or her current address? List his or her first name. | SELECT first_name FROM Students WHERE current_address_id != permanent_address_id |
For all donors from Texas City, list their donation message and name of the project they donated to. | SELECT T2.donation_message, T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donor_city = 'Texas City' |
How many playoffs did Per Mars participate in? | SELECT SUM(T2.GP) FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.PlayerName = 'Per Mars' AND T2.GAMETYPE = 'Playoffs' |
where are the date of ceremony of music festivals with category 'best song' and 'awarded'? | SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded" |
Which Class Pos has a Year larger than 1997, a Team of corvette racing, a Class of gt1, and 327 laps? | SELECT class AS pos FROM table_name_25 WHERE year > 1997 AND team = "corvette racing" AND class = "gt1" AND laps = 327 |
Compute the average age of all the dogs. | SELECT avg(age) FROM Dogs |
Great! Can you update that list to include the year that the school was founded? | SELECT School,Founded FROM university WHERE affiliation ! = 'Public' |
Which Away team has a Home team of walsall? | SELECT away_team FROM table_name_3 WHERE home_team = "walsall" |
Who is the actor required when Edna Stricken is the FlatSpin actor? | SELECT actor_required FROM table_name_24 WHERE flatspin = "edna stricken" |
What is the after for the player kevin streelman? | SELECT after FROM table_28498999_3 WHERE player = "Kevin Streelman" |
What city is she in? | SELECT city_code FROM Student WHERE Fname = "Linda" AND Lname = "Smith" |
Name the opponent with attendance of 31,777 | SELECT opponent FROM table_name_6 WHERE attendance = "31,777" |
What is the lowest density of a town with a 13,708 2011 population census ? | SELECT MIN(density) FROM table_name_74 WHERE population_2011_census = 13 OFFSET 708 |
Write me the titles of the movies starring Jim Carrey. | SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jim Carrey' |
For all of the 4 cylinder cars, which model has the most horsepower? | SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Cylinders = 4 ORDER BY T2.horsepower DESC LIMIT 1; |
What is the color of the grape whose wine products have the highest average price? | SELECT T1.Color FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape GROUP BY T2.Grape ORDER BY AVG(Price) DESC LIMIT 1 |
How many customers who are in Norway and have credit line under 220000? | SELECT COUNT(creditLimit) FROM customers WHERE creditLimit < 220000 AND country = 'Norway' |
Among the players who went to high school in Chicago, how many of them belongs to the west conference? | SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.hsCity = 'Chicago' AND T2.conference = 'West' |
When did the Broncos play the Miami Dolphins? | SELECT date FROM table_17294353_1 WHERE opponent = "Miami Dolphins" |
What is the Home team when Motagua is the Away team? | SELECT home FROM table_name_68 WHERE away = "motagua" |
Calculate the percentage of women who have participated in Equestrianism Mixed Three-Day Event, Individual. | SELECT CAST(COUNT(CASE WHEN T1.gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN event AS T4 ON T3.event_id = T4.id WHERE T4.event_name = 'Equestrianism Mixed Three-Day Event, Individual' |
Find the semester when both Master students and Bachelor students got enrolled in. | SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Bachelor' |
What is Record, when High Rebounds is "Tyson Chandler (6)"? | SELECT record FROM table_name_68 WHERE high_rebounds = "tyson chandler (6)" |
List the distinct payment method codes with the number of orders made | SELECT payment_method_code , count(*) FROM INVOICES GROUP BY payment_method_code |
Who is the senator for district 24? | SELECT member_senator FROM table_11948857_1 WHERE district = 24 |
Can you show me the average enrollment of all schools? | SELECT avg ( enrollment ) FROM school |
How tall is the contestant from Ecuador? | SELECT height__ft_ FROM table_20669355_2 WHERE country = "Ecuador" |
Show the nations that have both hosts older than 45 and hosts younger than 35. | SELECT Nationality FROM HOST WHERE Age > 45 INTERSECT SELECT Nationality FROM HOST WHERE Age < 35 |
What is the longest duration for a bike trip starting on a day with a fog in 2013? | SELECT MAX(T1.duration) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.date LIKE '%2013%' AND T2.events = 'Fog' AND T2.zip_code = 94107 |
What country has a To par of +1 and the score of 71-76-70=217? | SELECT country FROM table_name_25 WHERE to_par = "+1" AND score = 71 - 76 - 70 = 217 |
What were the goals at Sydney? | SELECT goals FROM table_name_16 WHERE venue = "sydney" |
Show names of actors and names of musicals they are in. | SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID |
What is the average amount due for all the payments? | SELECT AVG(amount_due) FROM payments |
What is the mean Year when the IWCR number was 5 and the Year withdrawn was bigger than 1926? | SELECT AVG(year_made) FROM table_name_85 WHERE iwcr_no = "5" AND year_withdrawn > 1926 |
What is the title of the song that received 259 points? | SELECT song_title FROM table_13805773_2 WHERE points = 259 |
List the number of games that ended up with 5-0 in Greece. | SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.country = 'Greece' AND T1.FTHG = 5 AND T1.FTAG = 0 |
Please list any five app categories that are related to games, along with their label ID. | SELECT category, label_id FROM label_categories WHERE category LIKE '%game%' LIMIT 5 |
what is the number of different channel owners? | SELECT count(DISTINCT OWNER) FROM channel |
Sum up the number of students enlisted in foreign legion, peace corps and army. | SELECT COUNT(name) FROM enlist WHERE organ IN ('army', 'peace_corps', 'foreign_legion') |
Who was Carlton's away team opponent? | SELECT away_team FROM table_name_79 WHERE home_team = "carlton" |
what is the title of the episode with the production code of ad1a22? | SELECT title FROM table_name_1 WHERE production_code = "ad1a22" |
Hi, what journalist had worked the most amount of years? | SELECT journalist_ID FROM journalist ORDER BY Years_working DESC LIMIT 1 |
What is the sum of grid values of driver Michael Schumacher with lap counts larger than 66? | SELECT SUM(grid) FROM table_name_7 WHERE laps > 66 AND driver = "michael schumacher" |
Which stadiums have an average attendance of 13840? | SELECT stadium FROM table_11208143_9 WHERE average = 13840 |
What are the changes from 2009 to 2010 in Tunisia? | SELECT change__2009_to_2010_ FROM table_14752049_2 WHERE country = "Tunisia" |
What is No. 1, when Region (Year) is Mississippi (2010)? | SELECT no_1 FROM table_name_25 WHERE region__year_ = "mississippi (2010)" |
And what decisions resulted from those tryouts? | SELECT decision FROM tryout where pPos = ( SELECT pPos FROM tryout GROUP BY pPos ORDER BY count ( * ) DESC LIMIT 1 ) |
Of all the products ordered in order no. 10248, which product has the highest user satisfaction? | SELECT T1.ProductName FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10248 ORDER BY T1.ReorderLevel DESC LIMIT 1 |
Which is the lowest points value that had a Chevrolet car, whose driver was Sterling Marlin, and whose car number was less than 14? | SELECT MIN(points) FROM table_name_51 WHERE make = "chevrolet" AND driver = "sterling marlin" AND car__number < 14 |
Find the names and descriptions of courses that belong to the subject named "Computer Science". | SELECT T1.course_name, T1.course_description FROM Courses AS T1 JOIN Subjects AS T2 ON T1.subject_id = T2.subject_id WHERE T2.subject_name = "Computer Science" |
Show the average, minimum, and maximum ticket prices for exhibitions for all years before 2009. | SELECT avg(ticket_price) , min(ticket_price) , max(ticket_price) FROM exhibition WHERE YEAR < 2009 |
What is the postion when the nhl team is los angeles kings? | SELECT position FROM table_2850912_7 WHERE nhl_team = "Los Angeles Kings" |
What is the smallest percentage of marine area for Pacific Marine ecozone and percentage of total area greater than 3.1? | SELECT MIN(percentage_of_marine_area__foreez_) FROM table_name_50 WHERE ecozone = "pacific marine" AND percentage_of_total_area__foreez_ > 3.1 |
Among the cars with an engine displacement of no less than 400 cubic millimeter, how many cars cost at least 30,000? | SELECT COUNT(*) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.displacement > 400 AND T2.price > 30000 |
WHAT IS THE HIGHEST ROUND FOR MIKE TAYLOR, WITH PICK HIGHER THAN 55? | SELECT MAX(round) FROM table_name_86 WHERE player = "mike taylor" AND pick > 55 |
Provide order number, warehouse code of customers Elorac, Corp. | SELECT DISTINCT T1.OrderNumber, T1.WarehouseCode FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Elorac, Corp' |
What are the ages and genders of the LG L70 users? | SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70' |
What date did they each become customers? | SELECT date_became_customer FROM customers where customer_name in ( SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id ) |
What is the Player that has a Place of t2, and a Score of 74-70-68=212? | SELECT player FROM table_name_64 WHERE place = "t2" AND score = 74 - 70 - 68 = 212 |
Tell me the start date and start station id for id 900504? | select start_date, start_station_name from trip where id = 900504 |
List down all the person IDs who taught course ID of 18. | SELECT p_id FROM taughtBy WHERE course_id = 18 |
What is the second that has jordan moulton as the lead? | SELECT second FROM table_name_97 WHERE lead = "jordan moulton" |
Which customer has the most addresses? | SELECT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN customer_address AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.first_name, T1.last_name ORDER BY COUNT(T2.customer_id) DESC LIMIT 1 |
What school is he the catcher for? | SELECT school FROM table_11677100_11 WHERE position = "Catcher" |
Show the height of the mountain climbed by the climber with the maximum points. | SELECT T2.Height FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID ORDER BY T1.Points DESC LIMIT 1 |
How many tourists did not make any visit? | SELECT count(*) FROM Visitors WHERE Tourist_ID NOT IN ( SELECT Tourist_ID FROM Visits ) |
Which staff have contacted which engineers? List the staff name and the engineer first name and last name. | SELECT T1.staff_name , T3.first_name , T3.last_name FROM Staff AS T1 JOIN Engineer_Visits AS T2 ON T1.staff_id = T2.contact_staff_id JOIN Maintenance_Engineers AS T3 ON T2.engineer_id = T3.engineer_id |
Which name has a percentage of 0.59%? | SELECT name FROM table_name_28 WHERE percentage = "0.59%" |
how many colors are in list in the description? | SELECT count ( * ) FROM Ref_colors |
How many institutes are private and not-for profit? | SELECT COUNT(*) FROM institution_details WHERE control = 'Private not-for-profit' |
Which Snatch has a Clean & Jerk of 180, and a Bodyweight smaller than 69.83? | SELECT MIN(snatch) FROM table_name_25 WHERE clean_ & _jerk = 180 AND bodyweight < 69.83 |
What was the score on the October 28 game? | SELECT final_score FROM table_23601267_2 WHERE date = "October 28" |
in how many of the arkansas colomel the county was pope | SELECT COUNT(colonel) FROM table_29458735_5 WHERE county = "Pope" |
Can you add to the table the dates of those transactions? | SELECT date_of_transaction,share_count, amount_of_transaction FROM TRANSACTIONS where share_count > = 100 or amount_of_transaction > = 100 |
What is the To par of the Player with a Score of 73-70-71-72=286? | SELECT to_par FROM table_name_35 WHERE score = 73 - 70 - 71 - 72 = 286 |
What is Candidate Name, when Target/Approach is "vaccine to amyloid-beta"? | SELECT candidate_name FROM table_name_58 WHERE target_approach = "vaccine to amyloid-beta" |
What is his lowest number of wins? | SELECT MIN(wins) FROM table_2216245_2 |
what's the result for district ohio 2 | SELECT result FROM table_1342013_34 WHERE district = "Ohio 2" |
What is the release Date of Catalog RR 8655-2? | SELECT date FROM table_name_39 WHERE catalog = "rr 8655-2" |
What's the Serie A when the coppa italia was 5? | SELECT AVG(serie_a) FROM table_name_79 WHERE coppa_italia = 5 |
What are the notes for a Type of 0-6-0t? | SELECT notes FROM table_name_37 WHERE type = "0-6-0t" |
What is the Height of Junior Meghan Austin? | SELECT height FROM table_name_59 WHERE year = "junior" AND name = "meghan austin" |
How many events did not have any participants? | SELECT count(*) FROM EVENTS WHERE event_id NOT IN (SELECT event_id FROM Participants_in_Events) |
This dataset is a merged collection of multiple text-to-SQL datasets, designed to provide a comprehensive resource for training and evaluating text-to-SQL models. It combines data from several popular benchmarks, including Spider, CoSQL, SparC, and others, to create a diverse and robust dataset for natural language to SQL query generation tasks.
Dataset Details Dataset Description Curated by: Mudasir Ahmad Mir
Language(s) (NLP): English
License: Apache 2.0
This dataset is ideal for researchers and developers working on natural language processing (NLP), semantic parsing, and database query generation. It supports a wide range of SQL complexities, from simple queries to nested and multi-turn interactions, making it suitable for both beginner and advanced text-to-SQL tasks.
Dataset Sources [optional] Repository: Hugging Face Dataset Link
Original Datasets:
Spider: Yale-LILY Lab
CoSQL: Yale-LILY Lab
SparC: Yale-LILY Lab
Uses Direct Use This dataset is intended for:
Training Text-to-SQL Models: Use this dataset to train models for converting natural language questions into SQL queries.
Benchmarking: Evaluate the performance of text-to-SQL models across diverse queries and domains.
Research: Study the challenges of semantic parsing, cross-domain generalization, and conversational SQL generation.
Out-of-Scope Use This dataset is not suitable for:
Tasks requiring domain-specific knowledge beyond the included datasets.
Applications requiring real-time or low-latency SQL generation without further fine-tuning.
Dataset Structure The dataset contains the following columns:
sentence: A natural language question or query.
sql: The corresponding SQL query for the given sentence.
Dataset Composition The dataset is created by merging the following sources:
Spider Dataset: A cross-domain text-to-SQL dataset with complex SQL queries.
CoSQL Dataset: A conversational text-to-SQL dataset with multi-turn interactions.
SparC Dataset: A context-dependent text-to-SQL dataset for cross-domain tasks.
Custom Text-to-SQL Dataset: A dataset containing additional sentence-SQL pairs.
Train Dataset: A dataset with context-question-answer pairs, adapted for text-to-SQL tasks.
Dataset Statistics Total Rows: [Insert total number of rows]
Unique SQL Patterns: [Insert number of unique SQL patterns]
Domains Covered: Academia, geography, conversational systems, and more.
Dataset Creation Curation Rationale This dataset was created to provide a unified and diverse resource for text-to-SQL tasks, combining high-quality datasets from multiple domains and use cases. The goal is to support research and development in natural language understanding and database query generation.
Source Data Data Collection and Processing The dataset was created by merging publicly available text-to-SQL datasets, including Spider, CoSQL, and SparC. The data was cleaned and standardized to ensure consistency in column names and formats.
Who are the source data producers? Spider: Yale-LILY Lab
CoSQL: Yale-LILY Lab
SparC: Yale-LILY Lab
Custom Dataset: Mudasir Ahmad Mir
Annotations [optional] The SQL queries in this dataset are manually curated and validated by the original dataset creators.
Annotation process Annotations were created as part of the original datasets. For example:
Spider: Annotators were provided with database schemas and asked to write SQL queries for given natural language questions.
CoSQL: Annotators engaged in multi-turn conversations to generate context-dependent SQL queries.
Who are the annotators? The annotators include researchers and contributors from Yale-LILY Lab and other organizations involved in the original datasets.
Personal and Sensitive Information This dataset does not contain personal, sensitive, or private information.
Bias, Risks, and Limitations Recommendations Users should be aware of the following:
The dataset may contain biases inherent in the original datasets, such as domain-specific language or query complexity.
The dataset is not designed for real-time applications without further fine-tuning or optimization.
Citation [optional] If you use this dataset in your research, please cite the original datasets (Spider, CoSQL, SparC, etc.) along with this merged version.
BibTeX:
bibtex Copy @misc{text-to-sql, author = {Mudasir Ahmad Mir}, title = {Text-to-SQL Dataset}, year = {2023}, publisher = {Hugging Face}, howpublished = {\url{https://huggingface.co/datasets/Mudasir692/text-to-sql}} } APA: Mudasir Ahmad Mir. (2023). Merged Text-to-SQL Dataset. Hugging Face. https://huggingface.co/datasets/Mudasir692/text-to-sql
Glossary [optional] Text-to-SQL: The task of converting natural language questions into SQL queries.
Cross-Domain: Refers to datasets that cover multiple domains or topics.
Multi-Turn Interactions: Conversations where SQL queries depend on previous interactions.
More Information [optional] For more information, visit the Hugging Face dataset page: Merged Text-to-SQL Dataset.
Dataset Card Authors [optional] Mudasir Ahmad Mir
Dataset Card Contact For questions or feedback, please contact Mudasir Ahmad Mir.
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